• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.9-20
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• 2018

The purpose of this paper is to analyze the effect of corporation internal reservation on R&D investment. It is to find how much effect the reflux tax has achieved through empirical analysis. In addition, education training expense was taken as a moderating variable to find the effectiveness of government policy. Furthermore, the study looked through the effect once again by using GMB model. According to the result counted by regression analysis, it could be concluded that the effect of both moderation and intervention had a significant effect and the variable of interest cost and welfare & benefit cost in model 1, 2 and 3 had a meaningful impact at the level of 99%. On the other hand, the previous corporate internal reservation failed to show any significant result in all types of models. Even in GBM model of convergence level applied to additional analysis, similar results came out.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.4
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• pp.65-74
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• 2006

This research tried to grasp present condition of domestic corporation's society contribution activity and grope desirable direction of society contribution activity hereafter. As analysis result, establishment of the responsible department or human power in charge for society contribution activity is insufficient, and depend on contribution activity of simple donation than to administer program directly, result of contribution activity is not linked with corporation's purpose or result and practical use of network with similar organization for society contribution was proved by low. Desirable direction of domestic corporation society contribution activity is as following hereafter based on analysis result. First, corporation must put in good order inside system with an establishment of the responsible department for society contribution, security of human power in charge and introducing education program for training specialist. Second, corporation must select specific field with capacity that corporation is holding and improve result of society contribution activity as concentrated investment. Third, corporation must construct network with various similar groups and organizations including NPO/NGO and heighten consummativeness of society contribution activity through mutual interchange and cooperation.

• Hwankyungkyoyuk
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• v.10 no.2
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• pp.249-268
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• 1997

This Study developed 'Environment Management Integrated Leader(EMIL)' program and evaluated the effect of the Program. The procedure of EMIL program development is as follows; 1) Identifying the training needs Through the interview and discussion with corporate environmental staff and research members, training need are collected. 2) Setting the training objectives 30 objectives are developed through specifying and organizing the training needs. 3) Determining the scopes of the program This program consists of the four scopes. First, the scope of Environmentally Acceptable Management is developed based on ISO 14000 and certification of environmentally friendly business. Second, the scope of Environmentally Acceptable Technology includes air pollution, water pollution, solid wasted management, and pollution prevention. Third, the scope of Integrated Environmental Management focuses on master plan, green marketing, green production, and green accounting. Finally, the scope of Integrated Environmental Concepts focuses on food pollution, environmental activities, and bio-diversity. 4) Selecting the training methods Various methods are used such as off-site visits, exercises, case study, workshop, discussion, role-playing as well as lecture. 5) Implementing the program 49 trainees participated the program for 6weeks. All trainees are working for D. Company Group. 6) Measuring training effects To evaluate the effects of the program, pre-post training evaluation method is used. The results are highly significant at all 4 scopes by the p<.01. This study has some implications in order to establish the environmental management climate. First, the development of new environmental education program for management is necessary. Second, Vast investment are required. Third, more systematic approaches are desired in environmental education. Lastly, more customized program development and implementation to fit in industries will accelerate the expansion of environmental concept.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.694-723
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• 2013

Securing a well-trained workforce with skills and expertise is a prerequisite for the successful fostering of IT industry. Investment into human resources in a knowledge-based economy is more effective than material resources since a high quality IT workforce is recognized around the world as the key resource that decides the national competitiveness. This study examines the environments of IT industry that are ever-changing depending on technology trends such as new bases for IT technology and convergence, the concept of IT convergence. The concept and necessity of ideal talents of convergence are also addressed as the paradigm of IT industry is changing. Chapter 3 analyzes the governmental demand-oriented IT workforce training programs and supports for convergence IT workforce training centers conducted by the government as well as convergence workforce training programs. Chapter 4 analyzes, based on the survey, major factors that may affect the attempt to secure an efficient education system for convergence-oriented IT workforce training in reflection of corporate demands. Lastly, chapter 5 states the major findings and limitations of this study.

• Information Systems Review
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• v.8 no.1
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• pp.287-303
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• 2006

Recently, Investment on HRM, particularly, on training and development, in companies has been increased. Therefore, HR managers pay attention to action learning that has the practical effect on performance. The purpose of this study is to introduce action learning as an efficient training method and simultaneously to raise operational issues from the case study. This study analyses a training and development program applying action learning for team manager candidates in corporate Hyosung from September, 2005 to January, 2006. The findings are as follows: First, inefficient processes are thrown out by the process reengineering applying action learning. Second, the training and development activity is maximized by the integrated use of internal and external facilitators. Third, the steady support of executives and the driving force of HRD managers are considered as main success factors.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.25-32
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• 2019

The purpose of this study is to investigate how to make a proper investment in ICO in the market. Previously, companies used to borrow money from banks or to obtain investments from venture capital (VC) and angel investors, but now ICOs are used as a new type of funding and financing model. The ICO sells the tokens or coins created on the blockchain openly online to raise the necessary funds, and provides the market value by paying the tokens or coins as much as the investment amount. According to this study, the limitations of the ICO market are (1) difficulties in evaluating the company, (2) uncertainties in investments, (3) lack of legal safeguards, and (4) measures to secure corporate stability after recruitment. At present, there is no way to cope with this systematically since the ICO is not protected in the legal framework. Nevertheless, we investigated the ways to make proper investment in the existing ICO market. In investing in ICO, investors should (1) consider investment methods and profitability, and (2) verify and judge investment fraud through various channels (ex. Homepage, composition team profile, etc.) and make investments based on this. This study will contribute to the formation of a healthy ICO market by understanding the newly emerged ICO market and studying the considerations when investing in it, thereby contributing to the right investor training and reducing the mass production of consumer damages caused by fraud. The limitation of this study is that the domestic ICO has not yet been examined in the legal framework, so further research is needed when policy changes occur in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.215-225
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• 2020

This study was performed to identify the education and training characteristics and the educational performance of the incumbent. For the enterprise in the rapidly changing market environment, the human resources is an important factor to secure the market competitiveness, and the enterprise promotes the development of competence and the corporate performance through the education and training. However, in spite of such effort, the continuously increasing turnover rate and the low utilization rate of educational contents make the enterprises to hesitate the investment in the education and training. Although, the researchers are conducting lots of researches on the characteristics and the performance of the education and training, the research focusing on the characteristics and the field utilization of the education and training is not sufficient due to such reasons, Therefore, this study intended to draw the factors of education and training characteristics through existing researches and find out what impact they have actually on the utilization in business by the incumbents through the organizational commitment. In the results of this study, it was shown that the self-efficacy do not have impact on the organizational commitment, the appropriateness of instructor ability has positive (+) impact on the continuous commitment and the emotional commitment, and the work correlation has negative impact on the continuous commitment and the emotional commitment. These results seems to mean that the importance of the instructor ability and the educational program should be increased and it is intended to provide the basic data for the education-related personnel and the related enterprises.

• Management & Information Systems Review
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• v.6
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• pp.205-226
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• 2001

Under the pressure of competition and efficiency in the 21st century, many firms need to adapt the system of new labor relationship, labor management' innovation. In global economy and information time, country and company have become a business imperative core strategy. Industrial and Labor management culture is more innovation and sustain, development. Therefore, This paper review, the new era of 21st century of knowledged based information society, new labor management culture's shape and the possibility of strong corporate culture's impact. This study suggested several improvement ways of Labor Management. The directions of participation in decisions in labor relation as follows: A manager and employee cope with partnership each other, open management is to successfully operate. Then investment enlarge human resource development, career development, education & training's enforcement etc. Employee are creativity and innovation task centered interested in the working conditions. First of all, employee has to not only effort to productivity improvement, but also voluntarily capacity improvement. These changes are hot issues to employee as well as to manager. Also, Government role is very important. They provide to constructive infra and human resource management should be develop as well as supported to knowledge based employee in socially responsible management. Finally, new labor relations culture' practice can effort the growth to improve upgrading strategy the sound labor-manager.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.139-169
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• 2023

This study analyzes the effects of firms' technology innovation(patent applications) on employment(number of workers and proportion of high-skilled workers) and corporate performance(sales per worker), while considering the two-way causal relationships between these variables. We used the three-stage least squares(3SLS) estimation to examine system of equations in which the dependent variables affect each other with a two-year lag wherever relevant, and applied it to firm-level panel data of Korean manufacturers with 100 or more workers. Our data covered the period of 2005-2017. Exogenous variables, such as firms' managerial and other characteristics, were controlled as explanatory variables. The identification variables for each equation included firms' R&D intensity, labor cost per worker(or operation of firms' own R&D center), and investment on worker training. We find that firms' patent applications increased number of workers, proportion of high-skilled workers, and sales per worker; the causal relationships in the opposite direction were also significant. Evidently, firms' technology innovation is critical to the growth and quality improvement of employment as well as sustainable corporate growth.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.105-129
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• 2020

This study uses corporate data from 2012 to 2018 when K-IFRS was applied in earnest to predict default risks. The data used in the analysis totaled 10,545 rows, consisting of 160 columns including 38 in the statement of financial position, 26 in the statement of comprehensive income, 11 in the statement of cash flows, and 76 in the index of financial ratios. Unlike most previous prior studies used the default event as the basis for learning about default risk, this study calculated default risk using the market capitalization and stock price volatility of each company based on the Merton model. Through this, it was able to solve the problem of data imbalance due to the scarcity of default events, which had been pointed out as the limitation of the existing methodology, and the problem of reflecting the difference in default risk that exists within ordinary companies. Because learning was conducted only by using corporate information available to unlisted companies, default risks of unlisted companies without stock price information can be appropriately derived. Through this, it can provide stable default risk assessment services to unlisted companies that are difficult to determine proper default risk with traditional credit rating models such as small and medium-sized companies and startups. Although there has been an active study of predicting corporate default risks using machine learning recently, model bias issues exist because most studies are making predictions based on a single model. Stable and reliable valuation methodology is required for the calculation of default risk, given that the entity's default risk information is very widely utilized in the market and the sensitivity to the difference in default risk is high. Also, Strict standards are also required for methods of calculation. The credit rating method stipulated by the Financial Services Commission in the Financial Investment Regulations calls for the preparation of evaluation methods, including verification of the adequacy of evaluation methods, in consideration of past statistical data and experiences on credit ratings and changes in future market conditions. This study allowed the reduction of individual models' bias by utilizing stacking ensemble techniques that synthesize various machine learning models. This allows us to capture complex nonlinear relationships between default risk and various corporate information and maximize the advantages of machine learning-based default risk prediction models that take less time to calculate. To calculate forecasts by sub model to be used as input data for the Stacking Ensemble model, training data were divided into seven pieces, and sub-models were trained in a divided set to produce forecasts. To compare the predictive power of the Stacking Ensemble model, Random Forest, MLP, and CNN models were trained with full training data, then the predictive power of each model was verified on the test set. The analysis showed that the Stacking Ensemble model exceeded the predictive power of the Random Forest model, which had the best performance on a single model. Next, to check for statistically significant differences between the Stacking Ensemble model and the forecasts for each individual model, the Pair between the Stacking Ensemble model and each individual model was constructed. Because the results of the Shapiro-wilk normality test also showed that all Pair did not follow normality, Using the nonparametric method wilcoxon rank sum test, we checked whether the two model forecasts that make up the Pair showed statistically significant differences. The analysis showed that the forecasts of the Staging Ensemble model showed statistically significant differences from those of the MLP model and CNN model. In addition, this study can provide a methodology that allows existing credit rating agencies to apply machine learning-based bankruptcy risk prediction methodologies, given that traditional credit rating models can also be reflected as sub-models to calculate the final default probability. Also, the Stacking Ensemble techniques proposed in this study can help design to meet the requirements of the Financial Investment Business Regulations through the combination of various sub-models. We hope that this research will be used as a resource to increase practical use by overcoming and improving the limitations of existing machine learning-based models.